Results 151 to 160 of about 5,326,339 (296)

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

Fully differentiable Lagrangian convolutional neural network for physics-informed precipitation nowcasting

Applied Computing and Geosciences
This paper presents a convolutional neural network model for precipitation nowcasting that combines data-driven learning with physics-informed domain knowledge.
Peter Pavlík, Martin Výboh, Anna Bou Ezzeddine, Viera Rozinajová   +3 more
doaj   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Incorporating the Breast Imaging Reporting and Data System Lexicon with a Fully Convolutional Network for Malignancy Detection on Breast Ultrasound. [PDF]

Diagnostics (Basel), 2021
Hsieh YH, Hsu FR, Dai ST, Huang HY, Chen DR, Shia WC.   +5 more
europepmc   +1 more source

DeepEye: Deep convolutional network for pupil detection in real environments

, 2018
Robust identification and tracking of the pupil provides key information that can be used in several applications such as controlling gaze-based HMIs (human machine interfaces), designing new diagnostic tools for brain diseases, improving driver safety ...
Pardo, Esteban, Malpica, Norberto, Melero Carrasco, Helena, Vera-Olmos, Francisco Javier   +3 more
core   +1 more source

1.5 µm Emission Properties of Erbium‐Implanted Thin‐Film Lithium Niobate

Advanced Optical Materials, EarlyView.
Optically active Er3+ ions are incorporated into x‐cut lithium niobate on insulator utilising a focused ion‐beam implantation method capable of sub‐100 nm precision. The implanted regions exhibit telecom‐band emission, with a reduction in photoluminescence intensity and lifetime below 50 K, consistent with pyroelectric‐field effects in the host ...
Daniel Blight, Mason Adshead, Alessandro Prencipe, Maryam Sanaee, Katia Gallo, Richard J Curry   +5 more
wiley   +1 more source

Automatic delineation of cardiac substructures using a region-based fully convolutional network. [PDF]

Med Phys, 2021
Harms J, Lei Y, Tian S, McCall NS, Higgins KA, Bradley JD, Curran WJ, Liu T, Yang X.   +8 more
europepmc   +1 more source

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

Fully Convolutional Network and Visual Saliency-Based Automatic Optic Disc Detection in Retinal Fundus Images. [PDF]

J Healthc Eng, 2021
Yu X, Wang Y, Wang S, Hu N.
europepmc   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source